Giovanni Seni is an active data mining practitioner in Silicon Valley; he has over 15 years R&D experience in statistical pattern recognition, data mining, and human-computer interaction applications. He has been a member of the technical staff at large technology companies, and a contributor at smaller organizations. He holds five US patents and has published over twenty conference and journal articles
Giovanni is an Adjunct Faculty at the Computer Engineering Department of Santa Clara University, where he teaches an Introduction to Pattern Recognition and Data Mining class.
Giovanni received a B.S. in
Computer Engineering from Universidad de
Los Andes (Bogotá, Colombia) in 1989, and a Ph.D. in Computer Science from
State University of New York at Buffalo (SUNY
Buffalo) in 1995, where he studied on a Fulbright scholarship. He also holds
a certificate in Data Mining and Applications from the Department of Statistics
at Stanford University.
His book with John Elder, Ensemble Methods in Data Mining: Improving accuracy through combining predictions, was published in February 2010 by Morgan & Claypool.